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NCT Number: NCT04527029

Early Intelligent Diagnosis of Limb Deformity in Children by AI and Clinic Application

The limb deformity in children include congenital limb malformations or acquired from the damage of epiphyseal plate which caused by tumor, inflammation and trauma. Due to the complexity of the disease itself, rapid dynamic development and the characteristics of children's growth and development, the deformities are constantly changing. In addition, the serious lack of clinical diagnosis and treatment resources in the Department of Pediatric Orthopedics has led to the misdiagnosis and improper treatment of children's limb deformities. Thus, its necessary to find an intelligent way to help doctor to early diagnosis of limb deformity and provide a proper treatment in children.

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Key information

Conditions

Limb Deformity

Age range

Up to 18 year

Sex eligibility

All sexes

Study type

Observational

About this study

The extraction and application of big data of children's limb deformities, intelligent labeling of image data, precise positioning, and perfecting the anatomical data of children's limb deformities.Improve the positioning accuracy of key points in X-ray images of children's limb deformities by means of step-by-step supervision to improve the accuracy of diagnosis.Realize an intelligent report generation system that combines patient background information, establish an end-to-end auxiliary diagnosis and treatment suggestion demonstration application system; realize a full set of artificial intelligence solutions for children's skeletal deformities, early screening and diagnosis of children, and forming an intelligent referral system of children's limb deformities.

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

Children with limb deformity

Exclusion criteria

Children without limb deformity

Treatment and study plan

No interventions

Other

It is an observational study. No interventions.

Primary outcomes

  1. Deformity detection

    Time frame: At enrollment

    It is a binary variable (1/0). The radiographic features of children would be evaluated by artificial Intelligence. If the deformity was detected, variable would be setted into 1.

Study contacts

Contact information is provided by the study sponsor or research team.

Bo Ning, PhD

CONTACT

[email protected]

+86 13585700275

Sponsors and collaborators

Lead sponsor

Children's Hospital of Fudan University

Other

Registry information

Official study title

The Studies of Early Intelligent Diagnosis of Limb Deformity in Children by AI and Clinic Application

Important dates

Study start
2025
Primary completion
2026
Study completion
2027
First posted
Aug 26, 2020
Registry last updated
Feb 20, 2025

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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